Triple
T13726840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves Everybody |
E329679
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | D.A. Wallach |
E329677
|
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: D.A. Wallach | Statement: [She Loves Everybody, writer, D.A. Wallach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D.A. Wallach Context triple: [She Loves Everybody, writer, D.A. Wallach]
-
A.
D.A. Wallach
chosen
D.A. Wallach is an American musician, songwriter, and investor best known as the lead vocalist of the pop duo Chester French.
-
B.
Winston Rauch
Winston Rauch is an American screenwriter and producer best known for co-writing and producing projects with his wife, actress Melissa Rauch.
-
C.
Will Knaak
Will Knaak is an American guitarist and songwriter best known as a member of the alternative rock band Blue October.
-
D.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
E.
Brad Winderbaum
Brad Winderbaum is an American film and television producer and Marvel Studios executive known for overseeing various projects within the Marvel Cinematic Universe.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84c02e08190b8ef620575157c14 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.