Triple
T8862420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Winger |
E210924
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Winger
Winger is the surname of American actress Debra Winger, known for her acclaimed roles in films such as "An Officer and a Gentleman" and "Terms of Endearment."
|
E762226
|
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: Winger | Statement: [Debra Winger, familyName, Winger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winger Context triple: [Debra Winger, familyName, Winger]
-
A.
Arsenal Wing
Arsenal Wing is a section of Gatchina Palace historically used for storing and displaying weapons and military equipment.
-
B.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
C.
Guardamiglio
Guardamiglio is a small municipality in northern Italy’s Lombardy region, situated within the Province of Lodi.
-
D.
Fioravanti
Fioravanti is an Italian surname historically associated with notable figures in architecture, engineering, and the arts.
-
E.
Cazorla
Cazorla is a historic town in Andalusia, southern Spain, known as a gateway to the Sierra de Cazorla Natural Park and for its medieval castle and scenic mountain setting.
- 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: Winger Triple: [Debra Winger, familyName, Winger]
Generated description
Winger is the surname of American actress Debra Winger, known for her acclaimed roles in films such as "An Officer and a Gentleman" and "Terms of Endearment."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winger Target entity description: Winger is the surname of American actress Debra Winger, known for her acclaimed roles in films such as "An Officer and a Gentleman" and "Terms of Endearment."
-
A.
Arsenal Wing
Arsenal Wing is a section of Gatchina Palace historically used for storing and displaying weapons and military equipment.
-
B.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
C.
Guardamiglio
Guardamiglio is a small municipality in northern Italy’s Lombardy region, situated within the Province of Lodi.
-
D.
Fioravanti
Fioravanti is an Italian surname historically associated with notable figures in architecture, engineering, and the arts.
-
E.
Cazorla
Cazorla is a historic town in Andalusia, southern Spain, known as a gateway to the Sierra de Cazorla Natural Park and for its medieval castle and scenic mountain setting.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0c248108190815d593f44029183 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa1714b4081909035c9b15c82c1be |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa24be80481909e2b575f99cd1dc4 |
completed | April 3, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:50 p.m.