Triple
T2373498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence Sejnowski |
E46141
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Terrence |
E103446
|
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: Terrence | Statement: [Terrence Sejnowski, givenName, Terrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrence Context triple: [Terrence Sejnowski, givenName, Terrence]
-
A.
Terrence
Terrence is the first name of Pusha T, an American rapper, songwriter, and record executive known for his sharp lyricism and work as half of the duo Clipse.
-
B.
Terrence
chosen
Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
-
C.
Terrence
Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
-
D.
Terrence J
Terrence J is an American actor, television host, and entertainment reporter best known for co-hosting BET's "106 & Park" and appearing in films like "Think Like a Man."
-
E.
Terence Alexander
Terence Alexander was a British character actor best known for his suave, upper-class roles in film and television, including his long-running part as Charlie Hungerford in the series "Bergerac."
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc791c4688190a4b8f0e540e84eb4 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a619d48190b1e1ad4c3efaf130 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:56 p.m.