Triple
T3121314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Grier |
E65189
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
|
E331389
|
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: Grier | Statement: [Pam Grier, familyName, Grier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grier Context triple: [Pam Grier, familyName, Grier]
-
A.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
B.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Guston
Guston is a small village and civil parish in the Dover District of Kent, England.
-
E.
Odell
Odell is the given name of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
- 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: Grier Triple: [Pam Grier, familyName, Grier]
Generated description
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grier Target entity description: Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
-
A.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
B.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Guston
Guston is a small village and civil parish in the Dover District of Kent, England.
-
E.
Odell
Odell is the given name of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224cf54088190a069b4eef0a5f7d2 |
completed | March 12, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69b2264c32b0819082fce40dfc8e5b88 |
completed | March 12, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b226bb6ebc81908c56a6fd8c2e536b |
completed | March 12, 2026, 2:36 a.m. |
Created at: March 8, 2026, 3:04 p.m.