Triple
T2578479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forward! |
E57031
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Forward! |
E57031
|
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! | Statement: [Forward!, hasTitle, Forward!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forward! Context triple: [Forward!, hasTitle, Forward!]
-
A.
Forward!
chosen
Forward! is the English title of the 1972 Italian political drama film "Avanti!".
-
B.
Looking Forward
"Looking Forward" is a 1999 studio album by folk-rock supergroup Crosby, Stills, Nash & Young that marked their reunion with new material after a long hiatus.
-
C.
Vooruit
Vooruit is a Flemish social-democratic political party in Belgium.
-
D.
Forward
Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
-
E.
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.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a86f9881908df29a7caaf9a7df |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6576a0a8819080d9241801675b19 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.