Triple
T7605476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isiah Thomas |
E180091
|
entity |
| Predicate | careerSteals |
P77729
|
FINISHED |
| Object | approximately 1861 |
—
|
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: approximately 1861 | Statement: [Isiah Thomas, careerSteals, approximately 1861]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerSteals Context triple: [Isiah Thomas, careerSteals, approximately 1861]
-
A.
careerOPS
Indicates a relationship where an entity’s career on-base plus slugging (OPS) statistic is recorded or associated with that entity.
-
B.
careerSacks
Indicates the total number of times a defensive player has sacked a quarterback over the course of their entire career.
-
C.
careerStrikeouts
Indicates the total number of batters a pitcher has struck out over the course of their entire professional career.
-
D.
careerHits
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
-
E.
careerTackles
Indicates the total number of tackles a player has made over the course of their entire career.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fcfcfc8190a29a0b5cd3e8927a |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:54 p.m.