Triple
T29021030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa's Substitute |
E737450
|
entity |
| Predicate | guestStarCredit |
P45889
|
FINISHED |
| Object |
Sam Etic
Sam Etic is a pseudonym used by comedian and actor Dustin Hoffman for his uncredited guest appearance in the television episode "Lisa's Substitute."
|
E1843975
|
NE FINISHED |
How this triple was built (3 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: Sam Etic | Statement: [Lisa's Substitute, guestStarCredit, Sam Etic]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sam Etic Triple: [Lisa's Substitute, guestStarCredit, Sam Etic]
Generated description
Sam Etic is a pseudonym used by comedian and actor Dustin Hoffman for his uncredited guest appearance in the television episode "Lisa's Substitute."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guestStarCredit Context triple: [Lisa's Substitute, guestStarCredit, Sam Etic]
-
A.
guestStar
chosen
Indicates that one entity appears in a limited, special, or featured role within another entity’s production, event, or context, without being a regular or primary participant.
-
B.
hostStar
Indicates that one celestial object serves as the primary star around which another object, such as a planet or system, is associated or orbits.
-
C.
guestOnBoard
Indicates that an entity is currently present as a guest aboard a vehicle, vessel, or similar conveyance.
-
D.
creditsAre
Indicates that certain credits are assigned, attributed, or owed to a particular entity or set of entities.
-
E.
creditsCanBe
Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
- F. None of above.
Provenance (6 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66005ea00819085501231fe82cc5e |
completed | May 2, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2505cf981081909f62473226cd3273 |
completed | June 7, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_6a250b60ce248190af70b1f449f36752 |
completed | June 7, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a250c39aaa48190b47a3ae755a63eeb |
completed | June 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:49 a.m.