Triple
T3970444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Same Old Man |
E92318
|
entity |
| Predicate | hasSoundCharacteristic |
P22084
|
FINISHED |
| Object | harp-driven sound |
—
|
LITERAL 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: harp-driven sound | Statement: [Same Old Man, hasSoundCharacteristic, harp-driven sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundCharacteristic Context triple: [Same Old Man, hasSoundCharacteristic, harp-driven sound]
-
A.
hasSound
chosen
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
C.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
D.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
E.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
- F. None of above.
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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:32 p.m.