Triple
T33504761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Michael Ward Jr. |
E858082
|
entity |
| Predicate | firstProfessionalFightYear |
P206494
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [George Michael Ward Jr., firstProfessionalFightYear, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProfessionalFightYear Context triple: [George Michael Ward Jr., firstProfessionalFightYear, 1985]
-
A.
finalProfessionalFightYear
Indicates the year in which an individual participated in their last professional fight.
-
B.
professionalMMAStartYear
Indicates the calendar year in which an individual began competing in professional mixed martial arts.
-
C.
lastProfessionalFightDate
Indicates the calendar date on which an entity most recently participated in a professional fight.
-
D.
firstKnownTournamentYear
Indicates the year in which a tournament was first known to have been held.
-
E.
firstBoutDate
Indicates the date on which an entity’s first bout, match, or competitive event took place.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:38 a.m.