Triple
T7417722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E.T. (song) |
E171170
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ammo |
E664064
|
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: Ammo | Statement: [E.T. (song), writer, Ammo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ammo Context triple: [E.T. (song), writer, Ammo]
-
A.
Ammo
chosen
Ammo is a music producer and songwriter known for working on pop and electronic tracks for major artists.
-
B.
Bullet
Bullet is the nickname of Bullet Rogan, a legendary Negro leagues baseball star renowned as one of the greatest two-way players in the sport’s history.
-
C.
Grenade
"Grenade" is a pop-R&B ballad by Bruno Mars about unrequited love and emotional sacrifice, released as one of his breakthrough hit singles.
-
D.
Fussilat
Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
-
E.
Pistol
Pistol is a braggart, swaggering follower of Falstaff who appears as a comic, bombastic soldier in several of Shakespeare’s plays, including *The Merry Wives of Windsor*.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c9314c8190855b79a2e6ef3e9b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277c92788190bcd36cfa461b4d95 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.