Triple
T23900013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Cowboys Doomsday Defense |
E601014
|
entity |
| Predicate | nicknameOfEra |
P27083
|
FINISHED |
| Object | Doomsday I |
—
|
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: Doomsday I | Statement: [Dallas Cowboys Doomsday Defense, nicknameOfEra, Doomsday I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfEra Context triple: [Dallas Cowboys Doomsday Defense, nicknameOfEra, Doomsday I]
-
A.
historicalEraOfNaming
Indicates the historical era or time period during which an entity received its name.
-
B.
notableEraNickname
chosen
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
C.
dynasticEraName
Indicates the named historical period or era associated with a particular dynasty’s rule.
-
D.
notableLabelEra
Indicates the historical era or time period for which a label, title, or designation is considered notable or especially relevant.
-
E.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdddca088190b6c26df984a143ad |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:26 p.m.