Triple
T12425610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expend4bles |
E296890
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Sheila Shah
Sheila Shah is an actress known for her role in the action film "Expend4bles" and appearances in other film and television projects.
|
E981616
|
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: Sheila Shah | Statement: [Expend4bles, hasCastMember, Sheila Shah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Shah Context triple: [Expend4bles, hasCastMember, Sheila Shah]
-
A.
Sheila Kahn
Sheila Kahn is a member of the Kahn family, related to renowned American value investor Irving Kahn.
-
B.
Sheila Chandra
Sheila Chandra is a British singer known for her innovative a cappella and drone-based vocal music that blends Indian classical influences with experimental and world music styles.
-
C.
Salma Lakhani
Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
-
D.
Beena Patel
Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
-
E.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
- 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: Sheila Shah Triple: [Expend4bles, hasCastMember, Sheila Shah]
Generated description
Sheila Shah is an actress known for her role in the action film "Expend4bles" and appearances in other film and television projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheila Shah Target entity description: Sheila Shah is an actress known for her role in the action film "Expend4bles" and appearances in other film and television projects.
-
A.
Sheila Kahn
Sheila Kahn is a member of the Kahn family, related to renowned American value investor Irving Kahn.
-
B.
Sheila Chandra
Sheila Chandra is a British singer known for her innovative a cappella and drone-based vocal music that blends Indian classical influences with experimental and world music styles.
-
C.
Salma Lakhani
Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
-
D.
Beena Patel
Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
-
E.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349716fc8190997b54a50d29827a |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6356ce3f4819087d1703db655cbb4 |
completed | May 2, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63697d5b8819094728df472eb1914 |
completed | May 2, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:55 p.m.