Triple
T37868986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falcon and the Co-eds |
E944552
|
entity |
| Predicate | hasFilmSeriesNumber |
P51500
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [The Falcon and the Co-eds, hasFilmSeriesNumber, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmSeriesNumber Context triple: [The Falcon and the Co-eds, hasFilmSeriesNumber, 7]
-
A.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
B.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
C.
filmSeriesInstallmentNumber
chosen
Indicates the specific sequential position that a film occupies within a film series.
-
D.
hasSeriesOpus
Indicates that one work belongs to, or is an installment within, a larger series or opus.
-
E.
filmSeriesCount
Indicates the number of films that belong to a particular film series.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: May 3, 2026, 4:19 p.m.