Triple
T1505735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Porter |
E33896
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Terry Porter |
E33896
|
NE FINISHED |
How this triple was built (2 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: Terry Porter | Statement: [Terry Porter, fullName, Terry Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Porter Context triple: [Terry Porter, fullName, Terry Porter]
-
A.
Terry Porter
chosen
Terry Porter is a former NBA point guard best known for his leadership and clutch play with the Portland Trail Blazers during their successful late-1980s and early-1990s seasons.
-
B.
Terry Davis
Terry Davis is a British Labour politician who served as Secretary General of the Council of Europe and was previously a long-standing Member of Parliament in the UK.
-
C.
Phillip Terry
Phillip Terry was an American film and television actor active from the 1930s to the 1960s, known for his supporting roles in Hollywood productions.
-
D.
Merv Jackson
Merv Jackson was a professional basketball guard best known for his key role with the Utah Stars in the American Basketball Association (ABA) during the early 1970s.
-
E.
Terry McAulay
Terry McAulay is a former National Football League official who served as a referee in multiple Super Bowls and later became a rules analyst for television broadcasts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a88734508481909378bb3e86e13323 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308dba548190b81999135210cc96 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:24 p.m.