Triple
T21445656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom & Viv (play) |
E529067
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Michael Hastings |
—
|
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: Michael Hastings | Statement: [Tom & Viv (play), author, Michael Hastings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Hastings Context triple: [Tom & Viv (play), author, Michael Hastings]
-
A.
Michael Hastings
Michael Hastings was an American journalist and author best known for his hard-hitting political and war reporting, including the Rolling Stone article and subsequent book that inspired the film "War Machine."
-
B.
Michael Hastings
chosen
Michael Hastings was a British playwright and screenwriter known for his stage and television works, including adaptations of notable literary and historical subjects.
-
C.
Chris Stevens
Chris Stevens is a songwriter best known for co-writing the R&B ballad "You & I (Nobody in the World)."
-
D.
Jeremy Scahill
Jeremy Scahill is an American investigative journalist and author known for his reporting on U.S. foreign policy, private military contractors, and national security issues.
-
E.
Will Colson
Will Colson is a rookie train conductor who becomes an unlikely hero when he helps stop a runaway freight train in the action thriller "Unstoppable."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b707ecd88190b3576b8923840870 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.