Triple
T20355838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo Zingarelli |
E496643
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Five Man Army |
—
|
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: The Five Man Army | Statement: [Italo Zingarelli, notableWork, The Five Man Army]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Five Man Army Context triple: [Italo Zingarelli, notableWork, The Five Man Army]
-
A.
The Five Man Army
chosen
The Five Man Army is a 1969 Italian spaghetti western heist film about a group of specialists hired to rob a heavily guarded train carrying gold.
-
B.
Fighting Fifth
Fighting Fifth is the storied nickname of the 5th Marine Regiment, one of the most decorated and battle-hardened infantry units in the United States Marine Corps.
-
C.
The Troop
The Troop is a Canadian horror-comedy television series that follows a group of teenagers secretly tasked with hunting and containing supernatural creatures in their town.
-
D.
The Yellow Army
The Yellow Army is the passionate fan base of the Chennai Super Kings, one of the most successful franchises in the Indian Premier League.
-
E.
The Point Men
The Point Men is a film featuring actress Kerry Fox in a prominent role.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67853f10881908ecde94036804a8a |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.