Triple
T6279676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa Rebeck |
E140748
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Bad Dates |
E583064
|
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: Bad Dates | Statement: [Theresa Rebeck, wrote, Bad Dates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Dates Context triple: [Theresa Rebeck, wrote, Bad Dates]
-
A.
Bad Dates
chosen
Bad Dates is a comedic one-woman play by Theresa Rebeck that follows a single mother’s misadventures in dating while reflecting on life, love, and self-discovery.
-
B.
The Grind Date
The Grind Date is a critically acclaimed 2004 hip-hop album by De La Soul that marked a mature, streamlined return to form for the pioneering rap group.
-
C.
First Date
"First Date" is a popular pop-punk song by American rock band Blink-182, known for its catchy melody and humorous take on the awkwardness of teenage romance.
-
D.
A Monday Date
"A Monday Date" is a classic jazz composition closely associated with pioneering American jazz pianist and bandleader Earl Hines.
-
E.
Last Weekend
Last Weekend is a 2014 American drama film co-written and directed by Tom Dolby, centered on a wealthy family's tensions and revelations during a holiday at their Lake Tahoe estate.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e411332481908ffff37cad062cce |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.