Triple
T4101259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Enemies |
E87944
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Forward Pass |
E329665
|
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: Forward Pass | Statement: [Public Enemies, productionCompany, Forward Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forward Pass Context triple: [Public Enemies, productionCompany, Forward Pass]
-
A.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
B.
Forward
Forward was the central campaign slogan used by Barack Obama during his 2012 U.S. presidential re-election bid, emphasizing progress and continuation of his policies.
-
C.
Forward Movement
chosen
Forward Movement is a film and television production company known for developing and producing screen content.
-
D.
Forward!
Forward! is the English title of the 1972 Italian political drama film "Avanti!".
-
E.
Ready and Forward
Ready and Forward is the official motto of the 26th Marine Expeditionary Unit, reflecting its emphasis on rapid readiness and forward deployment.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0ed168819093c83ba079d6725c |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7833b081909bf5a87ee709b49f |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.