Triple
T23955362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001 WNBA Finals |
E603772
|
entity |
| Predicate | isFirstTitleForFranchise |
P154505
|
FINISHED |
| Object | Los Angeles Sparks |
—
|
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: Los Angeles Sparks | Statement: [2001 WNBA Finals, isFirstTitleForFranchise, Los Angeles Sparks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstTitleForFranchise Context triple: [2001 WNBA Finals, isFirstTitleForFranchise, Los Angeles Sparks]
-
A.
wasFirstTitleForFranchiseInCity
Indicates that a particular title was the first one in its franchise to be established or won in a given city.
-
B.
originalFranchiseName
Indicates that an entity is associated with the name of the franchise from which it originally comes or to which it originally belongs.
-
C.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
-
D.
firstSeriesTitle
Indicates the title of the first series in which the subject (such as a work, character, or franchise) appears or to which it belongs.
-
E.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d616ec81908c796894f40f3015 |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:21 p.m.