Triple
T33730989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky film series scores |
E864272
|
entity |
| Predicate | notableSongInFranchise |
P88822
|
FINISHED |
| Object | Eye of the Tiger |
E83302
|
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: Eye of the Tiger | Statement: [Rocky film series scores, notableSongInFranchise, Eye of the Tiger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSongInFranchise Context triple: [Rocky film series scores, notableSongInFranchise, Eye of the Tiger]
-
A.
notableSongInMusical
Indicates that a particular song is especially prominent, well-known, or significant within a given musical.
-
B.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
C.
notableWorkInFranchise
Indicates that an entity has a significant or well-known work (such as a role, creation, or contribution) within a specific media franchise.
-
D.
notableSongWrittenFor
Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
-
E.
notableSongsIncluded
chosen
Indicates that certain notable or significant songs are included as part of the referenced entity (such as an album, playlist, or collection).
- F. None of above.
Provenance (4 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a365c7f93c08190a76890d51f4e13bd |
completed | June 20, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:44 a.m.