Triple
T15262321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Field |
E364810
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Long Ago |
E701515
|
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: Long Ago | Statement: [Michael Field, notableWork, Long Ago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Ago Context triple: [Michael Field, notableWork, Long Ago]
-
A.
Long Ago
"Long Ago" is a track from the album "Daydream," likely contributing to its overall dreamy, reflective pop sound.
-
B.
Long Ago
chosen
"Long Ago" is a musical number from the stage adaptation of the British musical "Half a Sixpence," contributing to its nostalgic and romantic atmosphere.
-
C.
Long Ago (and Far Away)
"Long Ago (and Far Away)" is a popular 1944 American standard song composed by Jerome Kern with lyrics by Ira Gershwin, widely known from the film "Cover Girl."
-
D.
Years Ago
"Years Ago" is a stage play that served as the basis for the musical "The Actress."
-
E.
Long Ago and Far Away
"Long Ago and Far Away" is a jazz composition by pianist Erroll Garner, known for its lyrical melody and expressive, swinging style.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fb8b30819096d31ba5884715c9 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:14 a.m.