Triple
T24414631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Alexander |
E615549
|
entity |
| Predicate | hasFormerTitle |
P155834
|
FINISHED |
| Object | owner of the Houston Rockets |
—
|
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: owner of the Houston Rockets | Statement: [Leslie Alexander, hasFormerTitle, owner of the Houston Rockets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerTitle Context triple: [Leslie Alexander, hasFormerTitle, owner of the Houston Rockets]
-
A.
hasMasterTitleFormer
Indicates that an entity previously held, but no longer holds, a particular master title.
-
B.
hasHadInterimTitles
Indicates that an entity has previously held one or more temporary or provisional titles before obtaining a permanent or final title.
-
C.
hasHistoricTitles
Indicates that an entity possesses or has been associated with one or more titles, ranks, or designations of historical significance.
-
D.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
E.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29583c2688190af3bc5d02eb9a3d9 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:12 a.m.