Triple
T33461428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Houlihan |
E856924
|
entity |
| Predicate | tvLastAppearance |
P155885
|
FINISHED |
| Object | M*A*S*H episode "Goodbye, Farewell and Amen" |
—
|
NE NERFINISHED |
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: M*A*S*H episode "Goodbye, Farewell and Amen" | Statement: [Margaret Houlihan, tvLastAppearance, M*A*S*H episode "Goodbye, Farewell and Amen"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tvLastAppearance Context triple: [Margaret Houlihan, tvLastAppearance, M*A*S*H episode "Goodbye, Farewell and Amen"]
-
A.
lastRegularAppearanceEpisode
chosen
Indicates the specific episode in which an entity makes its final appearance as a regular participant in a series.
-
B.
finalTelevisionAppearanceYear
Indicates the year in which an entity made its last television appearance.
-
C.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
D.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
E.
appearsInSeriesEndYear
Indicates the year in which an entity’s appearance in a particular series concludes or is last featured.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4d3a60881908d5bbe01c55f796b |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.