Triple
T26634459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucille (pun on Lou Seal) |
E668595
|
entity |
| Predicate | playsOnWord |
P37943
|
FINISHED |
| Object | seal |
—
|
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: seal | Statement: [Lucille (pun on Lou Seal), playsOnWord, seal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsOnWord Context triple: [Lucille (pun on Lou Seal), playsOnWord, seal]
-
A.
isPlayOnWordsWith
chosen
Indicates a relationship where one expression is a pun or wordplay that depends on, echoes, or cleverly twists the wording or meaning of another expression.
-
B.
plays
Indicates that an entity engages in or performs an activity, game, role, or piece of music.
-
C.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
D.
spokenWord
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
-
E.
playedUnder
Indicates that one person participated as a player on a team or in a context where another person served as their coach or manager.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 2:26 a.m.