Triple
T11934823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playwrights Workshop |
E284010
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | José Rivera |
E812495
|
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: José Rivera | Statement: [Playwrights Workshop, hasNotableAlumni, José Rivera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Rivera Context triple: [Playwrights Workshop, hasNotableAlumni, José Rivera]
-
A.
Juan Toro
Juan Toro was a Venezuelan statesman and patriot known for helping secure his country's independence from Spanish colonial rule.
-
B.
Jose Rivera
chosen
Jose Rivera is a Puerto Rican playwright and screenwriter known for his lyrical, often magical realist works in theater and film, including the Oscar-nominated screenplay for "The Motorcycle Diaries."
-
C.
Jafet Rivera
Jafet Rivera is the child of Clara Rivera.
-
D.
Juan Gopar
Juan Gopar is a small settlement within the municipality of Tuineje on the island of Fuerteventura in Spain’s Canary Islands.
-
E.
Roque Baños
Roque Baños is a Spanish film composer renowned for his evocative scores for both Spanish cinema and international productions.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63edbcd288190b491a16f2bf8fc62 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:45 p.m.