Triple
T17024436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Am I? (1998 film) |
E413026
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michelle Ferre
Michelle Ferre is a French-Japanese actress and former CNN correspondent best known internationally for co-starring with Jackie Chan in the action film "Who Am I?".
|
E1248818
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michelle Ferre | Statement: [Who Am I? (1998 film), starring, Michelle Ferre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Ferre Context triple: [Who Am I? (1998 film), starring, Michelle Ferre]
-
A.
Jacqueline Broyer
Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
-
B.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
C.
Annette Roque
Annette Roque is a Dutch former model and equestrian who gained public attention as the ex-wife of American television journalist Matt Lauer.
-
D.
Yvette Giraud
Yvette Giraud was a French traditional pop singer known for her romantic chansons and popularity in both France and Japan in the mid-20th century.
-
E.
Laurette Luez
Laurette Luez was an American actress and model best known for her roles in film noir and adventure films during the 1940s and 1950s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michelle Ferre Triple: [Who Am I? (1998 film), starring, Michelle Ferre]
Generated description
Michelle Ferre is a French-Japanese actress and former CNN correspondent best known internationally for co-starring with Jackie Chan in the action film "Who Am I?".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Ferre Target entity description: Michelle Ferre is a French-Japanese actress and former CNN correspondent best known internationally for co-starring with Jackie Chan in the action film "Who Am I?".
-
A.
Jacqueline Broyer
Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
-
B.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
C.
Annette Roque
Annette Roque is a Dutch former model and equestrian who gained public attention as the ex-wife of American television journalist Matt Lauer.
-
D.
Yvette Giraud
Yvette Giraud was a French traditional pop singer known for her romantic chansons and popularity in both France and Japan in the mid-20th century.
-
E.
Laurette Luez
Laurette Luez was an American actress and model best known for her roles in film noir and adventure films during the 1940s and 1950s.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed2ad708190a250762997611569 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012f3285c481909b3de139bd7aee8b |
completed | May 11, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012fcf7dc08190af1851b56cf1667a |
completed | May 11, 2026, 1:24 a.m. |
Created at: April 10, 2026, 5:33 a.m.