Triple
T3585069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lithgow |
E75889
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bombshell |
E50481
|
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: Bombshell | Statement: [John Lithgow, notableWork, Bombshell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bombshell Context triple: [John Lithgow, notableWork, Bombshell]
-
A.
Bombshell
chosen
Bombshell is a 2019 drama film that dramatizes the real-life sexual harassment scandal at Fox News involving Roger Ailes, featuring Charlize Theron as one of the central whistleblowers.
-
B.
Bombshell
Bombshell is the fictional Marilyn Monroe–themed Broadway musical at the center of the TV series "Smash."
-
C.
Sucker Punch
Sucker Punch is a 2011 fantasy action film directed by Zack Snyder that blends stylized combat sequences with surreal, dreamlike worlds.
-
D.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
E.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc135ee3481908ef8dc41af632710 |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402fcc5f481909c66319f75a8dc85 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:22 p.m.