Triple
T26616974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeus Carver |
E668087
|
entity |
| Predicate | franchiseAppearanceOrder |
P83971
|
FINISHED |
| Object | third Die Hard film |
—
|
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: third Die Hard film | Statement: [Zeus Carver, franchiseAppearanceOrder, third Die Hard film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseAppearanceOrder Context triple: [Zeus Carver, franchiseAppearanceOrder, third Die Hard film]
-
A.
seriesOrderOfFirstAppearance
chosen
Indicates the position in which an entity first appears within a series, relative to other entities in that same series.
-
B.
franchiseOwnerOfWorkItAppearsIn
Indicates that a franchise is the owner or controlling rights holder of the work in which a given entity appears.
-
C.
franchiseCameo
Indicates that an entity makes a brief appearance or reference within a work that belongs to a particular franchise or series.
-
D.
franchiseWorkedOn
Indicates that an entity has contributed work to, or been professionally involved with, a particular franchise.
-
E.
franchiseDebut
Indicates the first appearance or introduction of an entity within a particular franchise or 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 2:19 a.m.