Triple
T2484578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cappie Pondexter |
E55894
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pondexter
Pondexter is the surname of Cappie Pondexter, a prominent American professional basketball player known for her successful WNBA career.
|
E271030
|
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: Pondexter | Statement: [Cappie Pondexter, familyName, Pondexter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pondexter Context triple: [Cappie Pondexter, familyName, Pondexter]
-
A.
Roc the Panther
Roc the Panther is the costumed panther mascot representing the University of Pittsburgh at its athletic events and campus activities.
-
B.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
-
C.
Mr Goon
Mr Goon is the bumbling, bad-tempered village policeman who frequently clashes with the child detectives in Enid Blyton’s Mystery Series.
-
D.
Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
-
E.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
- 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: Pondexter Triple: [Cappie Pondexter, familyName, Pondexter]
Generated description
Pondexter is the surname of Cappie Pondexter, a prominent American professional basketball player known for her successful WNBA career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pondexter Target entity description: Pondexter is the surname of Cappie Pondexter, a prominent American professional basketball player known for her successful WNBA career.
-
A.
Roc the Panther
Roc the Panther is the costumed panther mascot representing the University of Pittsburgh at its athletic events and campus activities.
-
B.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
-
C.
Mr Goon
Mr Goon is the bumbling, bad-tempered village policeman who frequently clashes with the child detectives in Enid Blyton’s Mystery Series.
-
D.
Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
-
E.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd175f5ac8190870db9c6cb8e45bd |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17b7b4f08190b23af81c696bba4e |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1ba6e1408190ac021c1c1d1c3b2e |
completed | March 9, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c53dbe481908f73e1fe8d61c32e |
completed | March 9, 2026, 7:15 p.m. |
Created at: March 6, 2026, 9:45 p.m.