Triple
T36111259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pan (play) |
E1044504
|
entity |
| Predicate | firstActLocation |
P93084
|
FINISHED |
| Object | Nursery of the Darling family in London |
—
|
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: Nursery of the Darling family in London | Statement: [Peter Pan (play), firstActLocation, Nursery of the Darling family in London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstActLocation Context triple: [Peter Pan (play), firstActLocation, Nursery of the Darling family in London]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
firstSeriesLocation
Indicates the location where a series first took place, was set, or was initially released.
-
C.
firstAppearsAtLocation
chosen
Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
-
D.
firstMeetingPlace
Indicates the location where two or more entities met each other for the very first time.
-
E.
firstODIVenue
Indicates that the subject is the venue where an ODI (One Day International) cricket match was first held or hosted.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.