Triple
T10040311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History Books |
E205277
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Thirty Tigers |
E702582
|
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: Thirty Tigers | Statement: [History Books, recordLabel, Thirty Tigers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thirty Tigers Context triple: [History Books, recordLabel, Thirty Tigers]
-
A.
Thirty Tigers
chosen
Thirty Tigers is an independent entertainment company and music label services firm known for partnering with artists and small labels to distribute and market their releases.
-
B.
Golden Tigers
The Golden Tigers are the athletic teams representing Tuskegee University in intercollegiate sports.
-
C.
Tigers of Shanghai
Tigers of Shanghai is a professional esports team associated with the Gen.G organization, known for competing in high-level competitive gaming tournaments.
-
D.
The Tigress
The Tigress is a 1927 silent crime drama film starring Dorothy Revier as a seductive and dangerous femme fatale.
-
E.
Tiger at the Gates
Tiger at the Gates is a 1935 play by French dramatist Jean Giraudoux that offers a witty, philosophical reimagining of the events leading up to the Trojan War.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee2e6d881908cfa0579f9be32e4 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2827064108190b9079717a4eb98d6 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.