Triple
T36406994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoot |
E896772
|
entity |
| Predicate | basedOnCharacterFor |
P38418
|
FINISHED |
| Object | Norman "Hoot" Hooten character in Black Hawk Down (film) |
—
|
NE NERFINISHED |
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: Norman "Hoot" Hooten character in Black Hawk Down (film) | Statement: [Hoot, basedOnCharacterFor, Norman "Hoot" Hooten character in Black Hawk Down (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCharacterFor Context triple: [Hoot, basedOnCharacterFor, Norman "Hoot" Hooten character in Black Hawk Down (film)]
-
A.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
B.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
C.
basedOnCharacterOccupation
Indicates that something is derived from, inspired by, or determined according to a character’s occupation or job role.
-
D.
characterBasedIn
Indicates that a fictional character is primarily located, resides, or operates in a particular place or setting.
-
E.
basedOnCharacterFromWork
chosen
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
- F. None of above.
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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: May 3, 2026, 4:10 p.m.