Triple
T37162679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Men opening theme |
E920714
|
entity |
| Predicate | associatedWithAwardWinningSeries |
P88298
|
FINISHED |
| Object | Mad Men |
E54481
|
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: Mad Men | Statement: [Mad Men opening theme, associatedWithAwardWinningSeries, Mad Men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAwardWinningSeries Context triple: [Mad Men opening theme, associatedWithAwardWinningSeries, Mad Men]
-
A.
associatedAwardWinningShow
chosen
Indicates that an entity is linked to a show that has received an award.
-
B.
awardedToSeries
Indicates that an award or honor has been given to a particular series.
-
C.
associatedWithAwardWinningProducer
Indicates that an entity has a professional or creative connection with a producer who has received an award.
-
D.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
-
E.
associatedWithAwardWinningScore
Indicates that an entity is connected to or involved with a score that has received an award.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406376d4f08190baf8d1e368818760 |
completed | June 27, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.