Triple
T16008605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake "Hangman" Seresin |
E388280
|
entity |
| Predicate | callSign |
P1565
|
FINISHED |
| Object | Hangman |
E1189012
|
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: Hangman | Statement: [Jake "Hangman" Seresin, callSign, Hangman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hangman Context triple: [Jake "Hangman" Seresin, callSign, Hangman]
-
A.
Hangman
chosen
Hangman is the call sign of Jake "Hangman" Seresin, a confident and skilled U.S. Navy fighter pilot character in the film "Top Gun: Maverick."
-
B.
The Hangman
The Hangman is a philosophical novel by Swedish author Pär Lagerkvist that explores themes of evil, guilt, and human conscience through the figure of an executioner.
-
C.
Hangman Jury
"Hangman Jury" is a blues-influenced hard rock song by Aerosmith known for its dark, storytelling lyrics and acoustic-driven sound.
-
D.
Hangman's Curse
Hangman's Curse is a 2003 supernatural thriller film, based on a Frank Peretti novel, about a family of undercover investigators probing a deadly curse at a high school.
-
E.
Guess Who
Guess Who is a song by the American rock band Alabama Shakes from their critically acclaimed album "Sound & Color."
- 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.