Triple
T33916578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coach Jack Reilly |
E869475
|
entity |
| Predicate | hasHistoryWith |
P198585
|
FINISHED |
| Object | Gordon Bombay |
—
|
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: Gordon Bombay | Statement: [Coach Jack Reilly, hasHistoryWith, Gordon Bombay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoryWith Context triple: [Coach Jack Reilly, hasHistoryWith, Gordon Bombay]
-
A.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
B.
hasHistorySince
Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
-
C.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
D.
hasPriorHistory
Indicates that an entity has a previously recorded occurrence, condition, or involvement relevant to the current context.
-
E.
hasHistoricalArc
Indicates that something unfolds over time in a way that forms a coherent, meaningful historical development or narrative.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69fef3cdea708190af41c1ff23b68f88 |
completed | May 9, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:48 a.m.