Triple
T17152431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmett DeWitt |
E416254
|
entity |
| Predicate | relationshipToHowardStambler |
P126314
|
FINISHED |
| Object | bunker companion |
—
|
LITERAL 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: bunker companion | Statement: [Emmett DeWitt, relationshipToHowardStambler, bunker companion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHowardStambler Context triple: [Emmett DeWitt, relationshipToHowardStambler, bunker companion]
-
A.
relationshipStatusWithHoward
Indicates the type or state of the relationship an entity currently has with Howard.
-
B.
relationshipToStanley
Indicates the specific type of personal or social relationship an entity has with Stanley.
-
C.
relationshipToGabeGoodman
Indicates the specific type of personal or social relationship an entity has with Gabe Goodman.
-
D.
relationshipToStatler
Indicates a relational connection or association that an entity has specifically with Statler.
-
E.
relationshipToHenry
Indicates the specific type of relationship or connection that an entity has to Henry.
- F. None of above. chosen
Provenance (4 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.