Triple
T11521873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liz Hannah |
E273182
|
entity |
| Predicate | coWroteWith |
P2389
|
FINISHED |
| Object | Josh Singer |
E226120
|
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: Josh Singer | Statement: [Liz Hannah, coWroteWith, Josh Singer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Singer Context triple: [Liz Hannah, coWroteWith, Josh Singer]
-
A.
Josh Singer
chosen
Josh Singer is an American screenwriter known for his work on acclaimed films such as "Spotlight" and "The Post," often focusing on journalism and real-life events.
-
B.
Sam Wood
Sam Wood is a small-town police officer who becomes entangled in a racially charged murder investigation in John Ball’s novel "In the Heat of the Night."
-
C.
Sam Wood
Sam Wood was an American film director best known for his work during Hollywood’s Golden Age, including classics such as "A Night at the Opera," "Goodbye, Mr. Chips," and "The Pride of the Yankees."
-
D.
Lee M. Russell
Lee M. Russell was an American Democratic politician who served as governor of Mississippi in the early 20th century.
-
E.
Sean Singer
Sean Singer is an American poet recognized for winning the prestigious Yale Series of Younger Poets prize.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd129c88190893b95222480e04a |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62551a36081908ef6418fe8e2155c |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:37 p.m.