Triple
T37595545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 14 Fists of McCluskey |
E935373
|
entity |
| Predicate | showsCareerPhaseAs |
P189162
|
FINISHED |
| Object | earlier career success |
—
|
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: earlier career success | Statement: [The 14 Fists of McCluskey, showsCareerPhaseAs, earlier career success]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsCareerPhaseAs Context triple: [The 14 Fists of McCluskey, showsCareerPhaseAs, earlier career success]
-
A.
showsCareerPhaseOf
chosen
Indicates that something depicts or represents a particular phase or stage in an entity’s career.
-
B.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
C.
depictsCareerStage
Indicates that one entity visually represents or portrays a particular stage or phase in another entity’s career or professional development.
-
D.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
E.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.