Triple
T8163164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keir Gilchrist |
E190624
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gilchrist
Gilchrist is a surname of Scottish origin borne by various notable individuals in fields such as acting, sports, and public service.
|
E715769
|
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: Gilchrist | Statement: [Keir Gilchrist, familyName, Gilchrist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilchrist Context triple: [Keir Gilchrist, familyName, Gilchrist]
-
A.
Talmadge
Talmadge is an American surname notably associated with several political and public figures, including members of the Talmadge family in Georgia.
-
B.
Tuberville
Tuberville is the surname of Tommy Tuberville, an American politician and former college football coach.
-
C.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
D.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
E.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
- 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: Gilchrist Triple: [Keir Gilchrist, familyName, Gilchrist]
Generated description
Gilchrist is a surname of Scottish origin borne by various notable individuals in fields such as acting, sports, and public service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gilchrist Target entity description: Gilchrist is a surname of Scottish origin borne by various notable individuals in fields such as acting, sports, and public service.
-
A.
Talmadge
Talmadge is an American surname notably associated with several political and public figures, including members of the Talmadge family in Georgia.
-
B.
Tuberville
Tuberville is the surname of Tommy Tuberville, an American politician and former college football coach.
-
C.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
D.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
E.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4557ebc88190b4e2cab258374d23 |
completed | March 31, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf35000c8190ba78f69b7b1290e8 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc311d4e8819080f4aeef8ee7dc3b |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd83115fc8190a3e276bed0a00926 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:38 p.m.