Triple
T7504153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Fiennes |
E177341
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Michael Emery
Michael Emery is a British archaeologist and the brother of filmmaker Martha Fiennes and actor Ralph Fiennes.
|
E684511
|
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: Michael Emery | Statement: [Martha Fiennes, relative, Michael Emery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Emery Context triple: [Martha Fiennes, relative, Michael Emery]
-
A.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Eric Jager
Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
-
C.
Jonathan Emery
Jonathan Emery is an actor known for his role in the film "The Iron Mistress."
-
D.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
E.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
- 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: Michael Emery Triple: [Martha Fiennes, relative, Michael Emery]
Generated description
Michael Emery is a British archaeologist and the brother of filmmaker Martha Fiennes and actor Ralph Fiennes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Emery Target entity description: Michael Emery is a British archaeologist and the brother of filmmaker Martha Fiennes and actor Ralph Fiennes.
-
A.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Eric Jager
Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
-
C.
Jonathan Emery
Jonathan Emery is an actor known for his role in the film "The Iron Mistress."
-
D.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
E.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b32c708190bb3a92d0d949304a |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4e9b3348190a24823ff9ad3431e |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b79db9a08190ab7014085c6d2fb4 |
completed | March 29, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b7e980d08190ad1547e3147d36c6 |
completed | March 29, 2026, 5:26 a.m. |
Created at: March 27, 2026, 3:44 p.m.