Triple
T14720909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Valiant |
E345810
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Valiant |
E345810
|
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: Valiant | Statement: [Leslie Valiant, familyName, Valiant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valiant Context triple: [Leslie Valiant, familyName, Valiant]
-
A.
Valiant
Valiant is the knight-themed mascot representing Manhattanville College’s athletic teams.
-
B.
Valiant
chosen
Valiant is the surname of Leslie Valiant, a prominent computer scientist known for his foundational work in computational learning theory and complexity theory.
-
C.
The Valiant
The Valiant is a massive airborne aircraft carrier and command ship used by UNIT in the Doctor Who television series.
-
D.
Valiant & Valiant
Valiant & Valiant is a private detective agency in the film "Who Framed Roger Rabbit," co-founded and run by Eddie Valiant and his brother.
-
E.
The Heroes
The Heroes is a collection of mythological tales for children by Charles Kingsley that retells stories from Greek mythology in an accessible, moralistic Victorian style.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.