Triple
T13049753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denise Crosby |
E327419
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Sela |
E521044
|
NE 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: Sela | Statement: [Denise Crosby, characterPortrayed, Sela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sela Context triple: [Denise Crosby, characterPortrayed, Sela]
-
A.
Sela
Sela is a feminine given name most notably borne by American actress Sela Ward.
-
B.
Sela
chosen
Sela was an ancient rock-hewn stronghold and key urban center of the Edomite kingdom, strategically located in the rugged mountains south of the Dead Sea.
-
C.
Selaaru
Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
-
D.
Kassis
Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbda9b548190a10a4835b2c75fdc |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.