Triple
T16008662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom "Iceman" Kazansky |
E388281
|
entity |
| Predicate | hasCallSign |
P1565
|
FINISHED |
| Object | Iceman |
E1189013
|
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: Iceman | Statement: [Tom "Iceman" Kazansky, hasCallSign, Iceman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iceman Context triple: [Tom "Iceman" Kazansky, hasCallSign, Iceman]
-
A.
Iceman
Iceman is the nickname of Adam Vinatieri, the legendary NFL placekicker renowned for his clutch, game-winning field goals under extreme pressure.
-
B.
Iceman
Iceman is a founding member of the X-Men with the mutant ability to generate and control ice and cold.
-
C.
Iceman
Iceman is a 1984 science fiction drama film about the discovery and revival of a prehistoric man frozen in ice.
-
D.
Iceman
chosen
Iceman is the call sign of Tom Kazansky, a skilled and competitive U.S. Navy fighter pilot from the "Top Gun" film series.
-
E.
The Iceman
The Iceman is the Hall of Fame NBA shooting guard George Gervin, renowned for his smooth scoring ability and signature finger roll.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15801a58881909805d0b90011e6ff |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcc12dc8190a80d776b63a6ad35 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.